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SendAFriendGifting & E-Commerce DTC

How SendAFriend added €1.8M/year by turning social traffic into emotional gift decisions

Built a data-driven team while generating €1.8M/year. 56 experiments, 18 winners, and 13.5× ROI.

See if your shop is a fitSee the tests

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SendAFriend
€1.8M€1.8M€1.8MPer year
Per year
€1.8M€1.8M€1.8M
ROI
13.5x13.5x13.5x
Experiments
565656

The short version

SendAFriend is a social-first gifting brand with strong paid social and TikTok-driven demand. The opportunity was not just to sell plush products more efficiently. It was to convert fast-moving social traffic into a personal, emotionally loaded gift decision. DRIP helped generate €1.8M/year in additional revenue at 13.5x ROI while training the internal team to think in tests, hypotheses, and data-backed decisions.

From research to the buying experience

Emotional gifting proof

The program created €1.8M per year in additional revenue while strengthening the internal testing culture.

SendAFriend experimentation impact chart

The starting point of SendAFriend

SendAFriend built its growth engine around social traffic, gifting moments, and emotionally resonant products. The live shop still makes that visible: a clear hero promise, care-package CTA, recipient-oriented copy, reviews, and a best-seller grid.

That traffic source changes the CRO problem. Social visitors often arrive with emotion and curiosity but less patience. They need the site to convert the feeling quickly into a concrete gift path.

The validated driver profile was direct: Belonging scored 95, Comfort 85, and Security 70. Customers were buying a relationship signal, not only a stuffed animal.

The challenge

SendAFriend's traffic had high emotional potential but could leak if the page became too transactional. Visitors needed to picture the recipient, feel the care gesture, and understand the next step quickly.

The internal team also needed a more systematic way to decide what to change. Without a testing framework, teams naturally debate preferences: copy tone, product layout, bundles, cart treatment, or promotion placement.

The CRO challenge was therefore two-layered: generate immediate revenue from existing traffic and leave the team with a better decision system after the engagement.

Our process

The work became a research-backed testing system that compounds.

DRIP's method in three steps, and what each step looked like at SendAFriend.

  1. SendAFriend driver profile visualization

    Step 1

    Research

    We studied the emotional job behind the gift.

  2. SendAFriend protocol board

    Step 2

    Prediction & prioritization

    The consulting layer made the team better at testing.

  3. Actual SEN-102 reference slide for SendAFriend cart personality traits test

    Step 3

    Parallel testing

    We shipped small tests at emotionally important points.

Step 1

Research

We studied the emotional job behind the gift.

SendAFriend's buyer is not only choosing a plush. They are trying to make someone feel loved, supported, remembered, or cheered up. That made Belonging and Comfort the central drivers for test design.

The strongest tests made the recipient and the emotional payoff more concrete at the moment of action.

SendAFriend driver profile visualization
SendAFriend protocol board

01

Define the job

Gift decisions are about relationship reassurance.

02

Find the moment

Map where emotion fades into transaction.

03

Write hypotheses

Make the recipient and payoff more concrete.

Step 2

Prediction & prioritization

The consulting layer made the team better at testing.

DRIP did not only hand over variants. We helped the team practice the operating model: write the hypothesis, define the mechanism, read the result, and decide what the next test should teach.

The program's compounding value came from revenue plus a better internal decision habit.

SendAFriend protocol board
SendAFriend impact chart

01

Frame

Translate ideas into hypotheses.

02

Decide

Let evidence beat preference.

03

Repeat

Use every test to improve the next one.

Step 3

Parallel testing

We shipped small tests at emotionally important points.

The program focused on changes that could be built and interpreted cleanly: ATC sublines, animal personality traits, bundle clarity, and cart-stage emotional reinforcement.

Emotional CRO works best when the intervention is specific. Generic sentiment is weak; concrete recipient relevance is strong.

Actual SEN-102 reference slide for SendAFriend cart personality traits test
Actual SEN-102 variant slide for SendAFriend cart personality traits test
Actual SEN-102 result slide showing +3.63% ARPU

01

Select surface

Prioritize high-intent PDP and cart moments.

02

Add specificity

Make the gift feel chosen, not generic.

03

Measure ARPU

Read impact beyond conversion rate alone.

What the research found

The strongest conversion opportunities came from making the product feel personal, reducing uncertainty around the gift path, and keeping the emotional payoff visible until checkout.

#Purchase driverDriver scoreMentionsSentimentpositiveneutralnegative
1

Recipient Emotional Connection

Belonging

Shoppers needed to believe the gift would make the recipient feel seen and cared for.

Driver score95
Sentiment90% positive5% neutral5% negative
2

Comfort & Joy Proof

Comfort

The purchase became easier when the page made recipient joy specific and credible.

Driver score85
Sentiment88% positive8% neutral4% negative
3

Personalization

User experience

Animal traits and care-package choices made the item feel intentionally selected.

Driver score82
Sentiment80% positive12% neutral8% negative
4

Team Testing Capability

Operating model

A stronger testing habit made future decisions more evidence-based.

Driver score78
Sentiment85% positive10% neutral5% negative

What it meant for the roadmap

  1. 1

    Belonging and comfort were at the centre

    The purchase got easier when the recipient felt vivid.

  2. 2

    Social traffic arrived emotional and impatient

    The page had to turn the impulse into a clear gift path, fast.

  3. 3

    The cart made the gift concrete

    Small personal details strengthened the connection before payment.

  4. 4

    The team needed decisions made by tests

    Shared hypotheses and result reviews replaced debates about taste.

Current SendAFriend homepage screenshot captured from the live shop
Live shop, 2026The current shop makes the emotional promise visible immediately: brighten someone's day, create a care package, and choose a specific friend for the recipient.

What the actual tests looked like

The real control, variant and result screenshots behind each test.

Test 1 of 3

Add Personality Traits to Single Product Animals in Cart

The cart is a high-intent moment where the product can become a generic line item. Adding personality traits made the animal feel more chosen and emotionally relevant.

Generic cart item → personality-led gift reinforcement+3.63% ARPU
Actual SEN-102 reference screenshot slide for SendAFriend cart personality traits test
Control
Actual SEN-102 variant screenshot slide with SendAFriend animal personality traits in cart
Variant
Actual SEN-102 result slide showing +3.63% ARPU
Result

Test 2 of 3

Add Emotional Elements to ATC on Available PDPs

A short emotional subline under the Add to Cart button connected the action with the reason for buying: making someone feel comforted and loved.

Transactional ATC → emotional action cue at the decision point+3% ARPU
Actual SEN-78 reference screenshot slide for SendAFriend emotional ATC test
Control
Actual SEN-78 variant screenshot slide with emotional Add to Cart subline
Variant
Actual SEN-78 result slide showing +3% ARPU
Result

Test 3 of 3

Present Upsells Above ATC or Bundle Options on Targeted PDPs

The test compared the original PDP with two purchase-path variants: add-on upsells above the CTA and a stronger bundle-choice layout. It showed where additional gift options helped rather than distracted.

Single PDP path → explicit add-on and bundle purchase pathsVariant C +6.12% ARPU
Actual SEN-45 reference screenshot slide for SendAFriend PDP upsell test
Control
Actual SEN-45 Variant C screenshot slide showing SendAFriend bundle options on PDP
Variant
Actual SEN-45 all user result slide showing Variant C +6.12% ARPU
Result

Overall impact

Across 56 experiments, 18 produced statistically significant winners. The work generated €1.8M/year in additional revenue and a 13.5x ROI.

The biggest wins came from emotional personalization and cart-stage reinforcement, where the site made the gift feel more specific and more meaningful.

The deeper impact was organizational. SendAFriend's team moved from debating site opinions to forming hypotheses and using results to decide what to do next.

The takeaway

SendAFriend shows why social-first CRO has to account for traffic psychology. TikTok and paid social can create fast emotional attention, but the site has to turn that attention into a concrete gift path before it fades.

For gifting brands, personalization is not decoration. It is decision architecture: the more vividly the shopper can imagine the recipient, the easier the purchase becomes.

Thanks to DRIP, our team now thinks in tests and data. They've not only elevated our understanding of business-wide optimization but also trained us to tackle challenges with data-backed, test-driven solutions.

Tyler Macke

Founder, SendAFriend

DRIP and Apex

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